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Generative Ai Testing Jobs in Delaware (NOW HIRING)

Data Domain Architect Lead - VP

Wilmington, DE · On-site

$61.75 - $79.50/hr

... testing, and delivery. Your work will focus on maximizing enterprise platform capabilities ... You will also evaluate emerging technologies (including Generative AI tooling where appropriate) to ...

... coverage in system-level testing. Create and execute test plans, test requirements, test ... as generative AI or automated writing assistance, during any stage of the interview process.

... coverage in system-level testing. Create and execute test plans, test requirements, test ... as generative AI or automated writing assistance, during any stage of the interview process.

Associate, DevOps Engineer

Wilmington, DE · On-site

$51.25 - $70/hr

Contribute to disaster recovery testing and operational readiness Improve reliability and ... Interest in AI/ML or generative AI applications * Understanding of secure automation and enterprise ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

What are the key skills and qualifications needed to thrive as a Generative AI Testing Specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is Generative AI Testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.
What are popular job titles related to Generative Ai Testing jobs in Delaware? For Generative Ai Testing jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Generative Ai Testing jobs in Delaware look for? The top searched job categories for Generative Ai Testing jobs in Delaware are:
What cities in Delaware are hiring for Generative Ai Testing jobs? Cities in Delaware with the most Generative Ai Testing job openings:
Infographic showing various Generative Ai Testing job openings in Delaware as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.
Lead Software Engineer - GenAI, AWS, Java/Python

Lead Software Engineer - GenAI, AWS, Java/Python

Chase

Wilmington, DE

Other

Medical, Retirement

Posted 2 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Lead Software Engineer

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management division, you will be instrumental in promoting the progress and application of state-of-the-art AI technologies. Your role will focus on key development tasks, leveraging your technical expertise to enhance the design and implementation of pioneering key business features powered by Agentic/Gen AI frameworks.

Job responsibilities

  • Generative AI Development: Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
  • Technical Expertise: Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities.
  • Programming Proficiency: Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
  • Front-End Development: Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
  • Cloud Integration: Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
  • Automation and Stability: Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
  • Collaboration: Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness.
  • Continuous Learning: Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation.
  • Team Culture: Support a team culture of diversity, opportunity, inclusion, and respect, fostering an environment conducive to innovative AI development.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Programming Proficiency: Minimum 5+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
  • Generative AI: one year of experience in generative AI development and prompt engineering.
  • System Design: Proven experience in system design, application development, testing, and operational stability in AI projects.
  • Front-End Development: Minimum of 3+ years of strong experience with React or Angular.
  • Cloud Expertise: 2+ years of AWS experience is a must-have.
  • Tool Proficiency: Experience with LLM models and agentic tools.
  • Agile Methodologies: Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.

Preferred qualifications, capabilities, and skills

  • Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
  • Familiarity with data engineering practices to support AI model training and deployment.
  • Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
  • Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
  • Experience with AI/ML libraries and tools such as Langchain, PyTorch, Scikit-learn, and Keras.
About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.


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